rdply

Evaluate expression n times then combine results into a data frame

manip

A set of tools that solves a common set of problems: you need
to break a big problem down into manageable pieces, operate on each
piece and then put all the pieces back together.  For example, you
might want to fit a model to each spatial location or time point in
your study, summarise data by panels or collapse high-dimensional
arrays to simpler summary statistics. The development of 'plyr' has
been generously supported by 'Becton Dickinson'.

Hadley Wickham

plyr

Tools for Splitting, Applying and Combining Data

rdply function

<dl><dt>.n</dt>
<dd>number of times to evaluate the expression</dd>
<dt>.expr</dt>
<dd>expression to evaluate</dd>
<dt>.progress</dt>
<dd>name of the progress bar to use, see
<code>create_progress_bar</code></dd>
<dt>.id</dt>
<dd>name of the index column. Pass <code>NULL</code> to avoid creation of
the index column. For compatibility, omit this argument or pass <code>NA</code>
to use <code>".n"</code> as column name.</dd></dl>

Arguments

Replicate expression and return results in a data frame. — rdply

<dl>

<dt>.n</dt>
<dd>number of times to evaluate the expression</dd>


<dt>.expr</dt>
<dd>expression to evaluate</dd>


<dt>.progress</dt>
<dd>name of the progress bar to use, see
<code>create_progress_bar</code></dd>


<dt>.id</dt>
<dd>name of the index column. Pass <code>NULL</code> to avoid creation of
the index column. For compatibility, omit this argument or pass <code>NA</code>
to use <code>".n"</code> as column name.</dd>

</dl>

rdply: Replicate expression and return results in a data frame.

Description

Usage

Value

Arguments

Details

References

Examples